Overview

Dataset statistics

Number of variables4
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory36.6 B

Variable types

Text4

Dataset

Description전국에 수출입식물방제업 신고증을 받은 업체정보를 제공하는 서비스
Author농림축산검역본부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220214000000001887

Alerts

업체명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:10:30.667567
Analysis finished2023-12-11 03:10:31.132626
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T12:10:31.337450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length8.5862069
Min length5

Characters and Unicode

Total characters249
Distinct characters67
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row인천훈증주식회사
2nd row우리방역(주)
3rd row세림방역(주)
4th row평택당진방역(주)
5th row(주)신우티앤씨
ValueCountFrequency (%)
인천훈증주식회사 1
 
3.3%
우리방역(주 1
 
3.3%
유)대신방역산업 1
 
3.3%
유)대진방역 1
 
3.3%
주)퍼시픽우진 1
 
3.3%
한국방역산업(주 1
 
3.3%
주)대명에스앤피 1
 
3.3%
국제에프티엘(주 1
 
3.3%
주)해암산업 1
 
3.3%
대한티이씨(주 1
 
3.3%
Other values (20) 20
66.7%
2023-12-11T12:10:31.789685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
 
10.8%
) 25
 
10.0%
( 25
 
10.0%
방 18
 
7.2%
역 12
 
4.8%
제 7
 
2.8%
사 7
 
2.8%
식 6
 
2.4%
회 6
 
2.4%
대 5
 
2.0%
Other values (57) 111
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
79.5%
Close Punctuation 25
 
10.0%
Open Punctuation 25
 
10.0%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
13.6%
방 18
 
9.1%
역 12
 
6.1%
제 7
 
3.5%
사 7
 
3.5%
식 6
 
3.0%
회 6
 
3.0%
대 5
 
2.5%
업 5
 
2.5%
국 5
 
2.5%
Other values (54) 100
50.5%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
79.5%
Common 51
 
20.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
13.6%
방 18
 
9.1%
역 12
 
6.1%
제 7
 
3.5%
사 7
 
3.5%
식 6
 
3.0%
회 6
 
3.0%
대 5
 
2.5%
업 5
 
2.5%
국 5
 
2.5%
Other values (54) 100
50.5%
Common
ValueCountFrequency (%)
) 25
49.0%
( 25
49.0%
1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
79.5%
ASCII 51
 
20.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
 
13.6%
방 18
 
9.1%
역 12
 
6.1%
제 7
 
3.5%
사 7
 
3.5%
식 6
 
3.0%
회 6
 
3.0%
대 5
 
2.5%
업 5
 
2.5%
국 5
 
2.5%
Other values (54) 100
50.5%
ASCII
ValueCountFrequency (%)
) 25
49.0%
( 25
49.0%
1
 
2.0%

주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T12:10:32.170824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length33
Mean length26.655172
Min length17

Characters and Unicode

Total characters773
Distinct characters114
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row인천광역시 동구 제물량로 351
2nd row부산광역시 강서구 제도로 80
3rd row경기도 평택시 포승읍 포승공단순환로 49
4th row경기도 평택시 포승읍 서동대로 437-55
5th row인천광역시 중구 인항로 6 씨팰리스 A-805
ValueCountFrequency (%)
부산광역시 12
 
7.8%
인천광역시 8
 
5.2%
중구 7
 
4.6%
동구 5
 
3.3%
남구 4
 
2.6%
10 3
 
2.0%
사하구 3
 
2.0%
강서구 3
 
2.0%
전라북도 2
 
1.3%
2층 2
 
1.3%
Other values (89) 104
68.0%
2023-12-11T12:10:32.667430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
19.0%
시 29
 
3.8%
로 24
 
3.1%
광 24
 
3.1%
동 24
 
3.1%
3 23
 
3.0%
구 23
 
3.0%
역 22
 
2.8%
2 20
 
2.6%
1 20
 
2.6%
Other values (104) 417
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
57.7%
Space Separator 147
 
19.0%
Decimal Number 143
 
18.5%
Open Punctuation 10
 
1.3%
Close Punctuation 10
 
1.3%
Dash Punctuation 9
 
1.2%
Other Punctuation 7
 
0.9%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 29
 
6.5%
로 24
 
5.4%
광 24
 
5.4%
동 24
 
5.4%
구 23
 
5.2%
역 22
 
4.9%
산 19
 
4.3%
길 18
 
4.0%
번 14
 
3.1%
중 14
 
3.1%
Other values (88) 235
52.7%
Decimal Number
ValueCountFrequency (%)
3 23
16.1%
2 20
14.0%
1 20
14.0%
0 17
11.9%
7 16
11.2%
5 15
10.5%
4 13
9.1%
6 8
 
5.6%
9 8
 
5.6%
8 3
 
2.1%
Space Separator
ValueCountFrequency (%)
147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
57.7%
Common 326
42.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 29
 
6.5%
로 24
 
5.4%
광 24
 
5.4%
동 24
 
5.4%
구 23
 
5.2%
역 22
 
4.9%
산 19
 
4.3%
길 18
 
4.0%
번 14
 
3.1%
중 14
 
3.1%
Other values (88) 235
52.7%
Common
ValueCountFrequency (%)
147
45.1%
3 23
 
7.1%
2 20
 
6.1%
1 20
 
6.1%
0 17
 
5.2%
7 16
 
4.9%
5 15
 
4.6%
4 13
 
4.0%
( 10
 
3.1%
) 10
 
3.1%
Other values (5) 35
 
10.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
57.7%
ASCII 327
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
45.0%
3 23
 
7.0%
2 20
 
6.1%
1 20
 
6.1%
0 17
 
5.2%
7 16
 
4.9%
5 15
 
4.6%
4 13
 
4.0%
( 10
 
3.1%
) 10
 
3.1%
Other values (6) 36
 
11.0%
Hangul
ValueCountFrequency (%)
시 29
 
6.5%
로 24
 
5.4%
광 24
 
5.4%
동 24
 
5.4%
구 23
 
5.2%
역 22
 
4.9%
산 19
 
4.3%
길 18
 
4.0%
번 14
 
3.1%
중 14
 
3.1%
Other values (88) 235
52.7%

전화번호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T12:10:32.948818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length12.793103
Min length12

Characters and Unicode

Total characters371
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row032-584-3802-3
2nd row051-469-2149-50
3rd row031-686-5548
4th row031) 6817288
5th row032-886-4417~8
ValueCountFrequency (%)
032-584-3802-3 1
 
3.3%
051-469-2149-50 1
 
3.3%
063-467-6154-5 1
 
3.3%
061-792-7890 1
 
3.3%
051-467-5477 1
 
3.3%
032-887-8114-5 1
 
3.3%
051-637-4648 1
 
3.3%
051-462-8777-9 1
 
3.3%
054-274-7245 1
 
3.3%
051-203-5719 1
 
3.3%
Other values (20) 20
66.7%
2023-12-11T12:10:33.436553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 63
17.0%
0 46
12.4%
5 35
9.4%
1 35
9.4%
8 32
8.6%
4 31
8.4%
2 30
8.1%
6 29
7.8%
7 29
7.8%
3 23
 
6.2%
Other values (4) 18
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 302
81.4%
Dash Punctuation 63
 
17.0%
Close Punctuation 3
 
0.8%
Math Symbol 2
 
0.5%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
15.2%
5 35
11.6%
1 35
11.6%
8 32
10.6%
4 31
10.3%
2 30
9.9%
6 29
9.6%
7 29
9.6%
3 23
7.6%
9 12
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 371
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 63
17.0%
0 46
12.4%
5 35
9.4%
1 35
9.4%
8 32
8.6%
4 31
8.4%
2 30
8.1%
6 29
7.8%
7 29
7.8%
3 23
 
6.2%
Other values (4) 18
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 371
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 63
17.0%
0 46
12.4%
5 35
9.4%
1 35
9.4%
8 32
8.6%
4 31
8.4%
2 30
8.1%
6 29
7.8%
7 29
7.8%
3 23
 
6.2%
Other values (4) 18
 
4.9%

대표자명
Text

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T12:10:33.706375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters87
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)89.7%

Sample

1st row홍재희
2nd row이돈홍
3rd row문봉종
4th row심일홍
5th row이성운
ValueCountFrequency (%)
이진우 3
 
10.3%
홍재희 1
 
3.4%
고도명 1
 
3.4%
유인영 1
 
3.4%
김채현 1
 
3.4%
윤영섭 1
 
3.4%
박우진 1
 
3.4%
노환덕 1
 
3.4%
이성우 1
 
3.4%
강인식 1
 
3.4%
Other values (17) 17
58.6%
2023-12-11T12:10:34.112373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 8
 
9.2%
우 5
 
5.7%
진 5
 
5.7%
성 4
 
4.6%
홍 3
 
3.4%
윤 2
 
2.3%
인 2
 
2.3%
김 2
 
2.3%
현 2
 
2.3%
호 2
 
2.3%
Other values (45) 52
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
9.2%
우 5
 
5.7%
진 5
 
5.7%
성 4
 
4.6%
홍 3
 
3.4%
윤 2
 
2.3%
인 2
 
2.3%
김 2
 
2.3%
현 2
 
2.3%
호 2
 
2.3%
Other values (45) 52
59.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 8
 
9.2%
우 5
 
5.7%
진 5
 
5.7%
성 4
 
4.6%
홍 3
 
3.4%
윤 2
 
2.3%
인 2
 
2.3%
김 2
 
2.3%
현 2
 
2.3%
호 2
 
2.3%
Other values (45) 52
59.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 8
 
9.2%
우 5
 
5.7%
진 5
 
5.7%
성 4
 
4.6%
홍 3
 
3.4%
윤 2
 
2.3%
인 2
 
2.3%
김 2
 
2.3%
현 2
 
2.3%
호 2
 
2.3%
Other values (45) 52
59.8%

Correlations

2023-12-11T12:10:34.294137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명주소전화번호대표자명
업체명1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
대표자명1.0001.0001.0001.000

Missing values

2023-12-11T12:10:30.971990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:10:31.081452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

업체명주소전화번호대표자명
0인천훈증주식회사인천광역시 동구 제물량로 351032-584-3802-3홍재희
1우리방역(주)부산광역시 강서구 제도로 80051-469-2149-50이돈홍
2세림방역(주)경기도 평택시 포승읍 포승공단순환로 49031-686-5548문봉종
3평택당진방역(주)경기도 평택시 포승읍 서동대로 437-55031) 6817288심일홍
4(주)신우티앤씨인천광역시 중구 인항로 6 씨팰리스 A-805032-886-4417~8이성운
5(주)영화기업사인천광역시 중구 신포로15번길 73032-589-4403주창대
6대림방역(주)부산광역시 사하구 하신번영로 135 507호(신평동, 신평빌딩)051-466-4876-7황현숙
7(유)에이스방제울산광역시 남구 용연로 295-109052)240-8350장봉춘
8한국종합방제(주)인천광역시 중구 서해대로417번길 27-9032-887-8111~2이웅기
9글로벌방제주식회사울산광역시 남구 중앙로213번길 10052-240-8370이진우
업체명주소전화번호대표자명
19한국방역산업주식회사부산광역시 강서구 화전산단2로 70-16051-326-8871-3박연진
20대한티이씨(주)부산광역시 사하구 동매로 120 (하단동, 한신혜성아파트) 상가 202호051-203-5719임기택
21(주)해암산업경상북도 포항시 북구 삼호로74번길 7054-274-7245강인식
22국제에프티엘(주)부산광역시 동구 중앙대로236번길 10 (초량동) 501호051-462-8777-9이성우
23(주)대명에스앤피부산광역시 남구 우암로 75 (감만동)051-637-4648노환덕
24한국방역산업(주)인천광역시 중구 서해대로 417번길 27-9 (항동7가)032-887-8114-5박우진
25(주)퍼시픽우진부산광역시 중구 중앙대로46번길 4 동흥빌딩 303호051-467-5477윤영섭
26(유)대진방역전라남도 광양시 용지길 67-1 (태인동)061-792-7890김채현
27(유)대신방역산업전라북도 군산시 외항안길 295063-467-6154-5유인영
28한국방역써비스(주)전라북도 군산시 풍전4길 42063-465-0251-2염대환